Mainak Dan
YOU?
Author Swipe
View article: A Heuristic Algorithm for Combined Heat and Power System Operation Management
A Heuristic Algorithm for Combined Heat and Power System Operation Management Open
This paper presents a computationally efficient novel heuristic approach for solving the combined heat and power economic dispatch (CHP-ED) problem in residential buildings considering component interconnections. The proposed solution is m…
View article: Computationally efficient and scalable optimization approaches for integrated energy management systems
Computationally efficient and scalable optimization approaches for integrated energy management systems Open
Sustainable and cost-efficient energy management has become imperative to deal with the proliferation of energy consumption, the rising prices of fossil fuels, and atmospheric degradation. In this context, an energy management system (EMS)…
View article: A Scenario-Based Branch-and-Bound Approach for MES Scheduling in Urban Buildings
A Scenario-Based Branch-and-Bound Approach for MES Scheduling in Urban Buildings Open
This article presents a novel solution technique for scheduling multi-energy system (MES) in a commercial urban building to perform price-based demand response and reduce energy costs. The MES scheduling problem is formulated as a mixed in…
View article: A Hybrid Cross-Entropy Guided Genetic Algorithm for Scheduling Multi-Energy Systems
A Hybrid Cross-Entropy Guided Genetic Algorithm for Scheduling Multi-Energy Systems Open
This investigation develops a novel hybrid fast converging Cross-Entropy Genetic Algorithm technique for scheduling of multi-energy system (MES). The scheduling problem is a mixed integer non-linear programming problem with non-linear and …
View article: A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings
A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings Open
This investigation aims to study different adaptive fuzzy inference algorithms capable of real-time sequential learning and prediction of time-series data. A brief qualitative description of these algorithms namely meta-cognitive fuzzy inf…